With the help of Numpy matrix.dot() method, we are able to find a product of two given matrix and gives output as new dimensional matrix.
Syntax :
matrix.dot()Return : Return product of two matrix
Example #1 :
In this example we can see that with the help of matrix.dot() method we are able to find the product of two given matrix.
# import the important module in python import numpy as np # make matrix with numpy gfg1 = np.matrix('[6, 2, 3]') gfg2 = np.matrix('[4; 5; 9]') # applying matrix.dot() method Lazyroar = gfg1.dot(gfg2) print(Lazyroar) |
Output:
[[61]]
Example #2 :
# import the important module in python import numpy as np # make a matrix with numpy gfg1 = np.matrix('[1, 2, 3; 4, 5, 6; 7, 8, 9]') gfg2 = np.matrix('[1, 2, 3; 4, 5, 6; 7, 8, 9]') # applying matrix.dot() method Lazyroar = gfg1.dot(gfg2) print(Lazyroar) |
Output:
[[ 30 36 42] [ 66 81 96] [102 126 150]]
